GoodRelations Searches delivered by
RSS 2.0 or Atom Feeds

For typical Web developers, it is still complicated to add content from the Semantic Web to an existing Web site. At the same time, most software packages for blogs, content management, and shop applications support the syndication of content from external sources via data feed formats, namely RSS and Atom. This tool helps to leverage the creation and consumption of e-commerce data from the Semantic Web via content syndication of search results in the form of RSS or Atom feeds.

Feed Examples for Products or Services

Let's suppose you want to search for camcorders. Then the content for a feed as gained by issuing a basic search looks as follows:

By using the extended search mode, we can restrict the above results to a price range between 100 and 500 dollars:

The results in the feeds above contain camcorders that do not have a image attached. We can filter according to results with images and additionally express:

Feed Examples for Shops or Stores

The following example feed shows information about a company with a company logo:

Some stores also expose their geographic positions, that can be invisibly embedded into the feeds:

Publications

Alex Stolz and Martin Hepp: From RDF to RSS and Atom: Content Syndication with Linked Data, in: Proceedings of the 24th ACM Conference on Hypertext and Social Media (Hypertext 2013), May 1-3, Paris, France.

License and Source Code

The source code is available under a free LGPL license from here.

Contact

Univ.-Prof. Dr. Martin Hepp
E-Business and Web Science Research Group, Chair of General Management and E-Business
Universität der Bundeswehr München
Werner-Heisenberg-Weg 39
D-85579 Neubiberg, Germany

Phone: +49-89-6004-4217
E-mail: tools (at) ebusiness-unibw.org
http://www.unibw.de/ebusiness/

Acknowledgements

This tool has been developed by Alex Stolz, a member of the E-Business and Web Science Research Group at Universität der Bundeswehr München. The author would like to thank Martin Hepp for constructive feedback and ongoing substantial contributions to this project.

The work on GR2RSS has been supported by the German Federal Ministry of Research (BMBF) by a grant under the KMU Innovativ program as part of the Intelligent Match project (FKZ 01IS10022B).